3.7k citations · 4.1k across the 25 of their papers we have counts for
9 papers · 1 filter
Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space
Jiahuan Ren, Zhao Zhang, Sheng Li +4
In this paper, we investigate the robust dictionary learning (DL) to discover the hybrid salient low-rank and sparse representation in a factorized compressed space. A Joint Robust…
Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering
Zhao Zhang, Yan Zhang, Sheng Li +4
Concept Factorization (CF) and its variants may produce inaccurate representation and clustering results due to the sensitivity to noise, hard constraint on the reconstruction erro…
Recovery of Future Data via Convolution Nuclear Norm Minimization
Guangcan Liu, Wayne Zhang
This paper studies the problem of time series forecasting (TSF) from the perspective of compressed sensing. First of all, we convert TSF into a more inclusive problem called tensor…
Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification
Zhao Zhang, Yulin Sun, Zheng Zhang +3
In this paper, we extend the popular dictionary pair learning (DPL) into the scenario of twin-projective latent flexible DPL under a structured twin-incoherence. Technically, a nov…
Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification
Zhao Zhang, Lei Jia, Mingbo Zhao +3
Kernel methods have been successfully applied to the areas of pattern recognition and data mining. In this paper, we mainly discuss the issue of propagating labels in kernel space.…
Joint Label Prediction based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation
Zhao Zhang, Yan Zhang, Guangcan Liu +3
Constrained Concept Factorization (CCF) yields the enhanced representation ability over CF by incorporating label information as additional constraints, but it cannot classify and…